Aspect-level Sentiment Classification on SemEval Laptop 2014 (test)
86.46AccuracyLSAE-X-DeBERTa
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LSAE-X-DeBERTaBackbone=X-DeBERTa2021.10 | 86.46 | — | — | 84.41 | |
| LSAT-X-DeBERTaBackbone=X-DeBERTa2021.10 | 86.31 | — | — | 83.93 | |
| LSAS-X-DeBERTaBackbone=X-DeBERTa2021.10 | 86.21 | — | — | 83.97 | |
| LSAP-X-DeBERTaBackbone=X-DeBERTa2021.10 | 86 | — | — | 83.1 | |
| SARL-RoBERTaBackbone=RoBERTa2021.10 | 85.42 | — | — | 82.97 | |
| LSAT-DeBERTaBackbone=DeBERTa2021.10 | 84.8 | — | — | 82 | |
| LSAE-DeBERTaBackbone=DeBERTa2021.10 | 84.8 | — | — | 82.09 | |
| LSAP-DeBERTaBackbone=DeBERTa2021.10 | 84.33 | — | — | 81.46 | |
| LSAS-DeBERTaBackbone=DeBERTa2021.10 | 84.17 | — | — | 81.23 | |
| LSAE-RoBERTaBackbone=RoBERTa2021.10 | 84.12 | — | — | 80.9 | |
| PWCN-RoBERTaBackbone=RoBERTa2021.10 | 84.01 | — | — | 81.08 | |
| LSAT-RoBERTaBackbone=RoBERTa2021.10 | 83.44 | — | — | 80.47 | |
| LSAP-RoBERTaBackbone=RoBERTa2021.10 | 83.39 | — | — | 80.47 | |
| ASGCN-RoBERTaBackbone=RoBERTa2021.10 | 83.33 | — | — | 80.32 | |
| RGAT-RoBERTaBackbone=RoBERTa2021.10 | 83.33 | — | — | 79.95 | |
| SARL-DeBERTaBackbone=DeBERTa2021.10 | 83.32 | — | — | 79.95 | |
| LSAS-RoBERTaBackbone=RoBERTa2021.10 | 83.23 | — | — | 80.3 | |
| RoBERTaBackbone=RoBERTa2021.10 | 82.76 | — | — | 79.73 | |
| DeBERTaBackbone=DeBERTa2021.10 | 82.76 | — | — | 79.45 | |
| DPLMethod Category=Ours, Backbone=BERT2022.03 | 81.96 | — | — | 78.58 | |
| Li et al. (2021)Method Category=BERT, Backbone=BERT2022.03 | 81.8 | — | — | 78.1 | |
| DualGCN-BERTBackbone=BERT2021.10 | 81.8 | — | — | 78.1 | |
| TF-BERTBackbone=BERT2021.10 | 81.8 | — | — | 78.46 | |
| SDGCN-BERTBackbone=BERT2021.10 | 81.35 | — | — | 78.34 | |
| LSAP-BERTBackbone=BERT2021.10 | 81.35 | — | — | 77.79 | |
| LSAT-BERTBackbone=BERT2021.10 | 81.35 | — | — | 78.43 | |
| dotGCN-BERTBackbone=BERT2021.10 | 81.03 | — | — | 78.1 | |
| LSAS-BERTBackbone=BERT2021.10 | 81.03 | — | — | 77.45 | |
| LSAE-BERTBackbone=BERT2021.10 | 81.03 | — | — | 77.45 | |
| SSEGCN-BERTBackbone=BERT2021.10 | 81.01 | — | — | 77.96 | |
| TGCN-BERTBackbone=BERT2021.10 | 80.88 | — | — | 77.03 | |
| Rietzler et al. (2019)Method Category=BERT, Backbone=BERT2022.03 | 80.23 | — | — | 75.77 | |
| Pang et al. (2021)Method Category=BERT, Backbone=BERT2022.03 | 80.22 | — | — | 77.28 | |
| DGEDT-BERTBackbone=BERT2021.10 | 79.8 | — | — | 75.6 | |
| Bai et al. (2020)Method Category=BERT, Backbone=BERT, replication=true2022.03 | 79.53 | — | — | 74.54 | |
| SK-GCN-BERTBackbone=BERT2021.10 | 79 | — | — | 75.57 | |
| MCRF-SA2020.10 | 77.64 | — | — | 74.23 | |
| TNet-ATTSource=Original Paper2020.10 | 77.62 | — | — | 73.84 | |
| Liang et al. (2020)Method Category=Auxiliary2022.03 | 77.51 | — | — | 73.42 | |
| TNet-ATTSource=Reproduced by authors, Runs=Average of 32020.10 | 76.22 | — | — | 71.51 | |
| He et al. (2019b)Method Category=Auxiliary2022.03 | 75.36 | — | — | 72.02 | |
| SA-LSTM-PSource=Original Paper2020.10 | 75.1 | — | — | — | |
| TNet-LFSource=Zhang et al. (2019)2020.10 | 74.61 | — | — | 70.14 | |
| AOA-LSTMruns=102018.04 | 74.5 | 72.6 | 0.008 | — | |
| ASGCNSource=Zhang et al. (2019)2020.10 | 74.14 | — | — | 69.24 | |
| Chen and Qian (2019)Method Category=Auxiliary2022.03 | 73.87 | — | — | 70.1 | |
| ASGCNSource=Reproduced by authors, Runs=Average of 32020.10 | 72.91 | — | — | 68.06 | |
| ASCNNSource=Zhang et al. (2019)2020.10 | 72.62 | — | — | 66.72 | |
| IAN2018.04 | 72.1 | — | — | — | |
| IANSource=Zhang et al. (2019)2020.10 | 72.05 | — | — | 67.38 | |
| He et al. (2018)Method Category=Auxiliary2022.03 | 71.91 | — | — | 68.79 | |
| MemNetSource=Zhang et al. (2019)2020.10 | 70.64 | — | — | 65.17 | |
| SVMSource=Original Paper2020.10 | 70.49 | — | — | — | |
| AT-LSTM2018.04 | 68.9 | — | — | — | |
| ATAE-LSTM2018.04 | 68.7 | — | — | — | |
| ATAE-LSTMSource=Original Paper2020.10 | 68.7 | — | — | — | |
| TD-LSTM2018.04 | 68.1 | — | — | — | |
| LSTM2018.04 | 66.5 | — | — | — | |
| Majority2018.04 | 65 | — | — | — | |
| BARTABSAModel=BARTABSA2024.05 | — | — | — | 76.76 | |
| Dual-MRCModel=Dual-MRC2024.05 | — | — | — | 75.97 | |
| InstructABSA2Model=InstructABSA2, Status=Reproduced2024.05 | — | — | — | 81.66 | |
| LSAT-XModel=LSAT-X2024.05 | — | — | — | 83.93 | |
| PFInstruct-NERModel=PFInstruct-NER, Prefix=Named Entity Recognition2024.05 | — | — | — | 81.63 | |
| PFInstruct-NoiseModel=PFInstruct-Noise, Prefix=Noise2024.05 | — | — | — | 80.88 | |
| PFInstruct-REModel=PFInstruct-RE, Prefix=Relation Extraction2024.05 | — | — | — | 82.57 |